[nltk_data] Downloading package stopwords to /root/nltk_data... [nltk_data] Package stopwords is already up-to-date!
This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.
Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.
The ten highest rated contributions for this round were the following:
| Avg. score | To | Reason |
|---|---|---|
| 78.67 | Vyvy-vi#5040 | for being our bot & data guru that we can always reach out to for meaningful information and problem solving |
| 77.67 | Vyvy-vi#5040 | for the incredible work getting our Discord onboarding experience upgraded and in god mode |
| 74.5 | VitorNunes#0090 | for all the work that they’re doing to make sure we have a safe launch, finding all the intricacies that we have to deal with for the launch |
| 73.7 | VitorNunes#0090 | for the epic work around the Hatch, the ABC, EVM-Crispr, and the CU |
| 72.0 | divine_comedian#5493 | for gathering 30 quantifiers and organizing them for the first quant |
| 68.17 | Vyvy-vi#5040 | for the incredible work he's been doing with the praise bot. He reaches a level of details that no one else would have bothered to look into, and this just makes all the difference! |
| 68.0 | sem(🌸,🐝)#0161 | for painstakingly going through all the parameters and everything to get the Commons Upgrade to happen without any issues; everything’s launched now so major praise to these heroes |
| 66.33 | sem(🌸,🐝)#0161 | for the backend work you’ve been doing around the CU |
| 66.33 | Vyvy-vi#5040 | for all the work they’ve put into the Rewards System initiative because not just the TEC but a dozen other DAOs will be benefitted by this |
| 63.5 | divine_comedian#5493 | for all the progress they’ve had with the Rewards System dashboard and with the whole WG as whole |
We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.
We can also take a look at the amount of praise different users gave.
Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.
Now let's take a closer look at the quantification process and the quantifiers:
To aid the revision process, we highlight disagreements between quantifiers.
This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.
Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .
Let's see how different quantifiers behaved by showing the range of praise scores they gave.
To interpret the box plot:
Bottom horizontal line of box plot is minimum value
First horizontal line of rectangle shape of box plot is First quartile or 25%
Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.
Third horizontal line of rectangle shape of box plot is third quartile or 75%
Top horizontal line of rectangle shape of box plot is maximum value.
Among 1714 praises, 423 (24.44%) do not agree on duplication
Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.
Among 1714 praises, 255 (14.73%) do not agree on dismissal
Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.